Abstract
Melt temperature in the injection molding process directly affects the quality of the molded plastic product. The injection molding process is a periodic dynamic process. Many factors affect the barrel melt temperature, so precise control of the melt temperature is difficult. This paper introduces this industrial problem and presents a combined strategy using a feedback controller and an iterative learning controller to resolve the problem. Results show that this method has a high dynamic control accuracy and improves molded part mass repeat accuracy.
Keywords: dynamic control; injection molding machine; iterative learning control; melt temperature; variable structure control
Published Online: 2011-10-18
Published in Print: 2011-11-01
©2011 by Walter de Gruyter Berlin Boston
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Keywords for this article
dynamic control;
injection molding machine;
iterative learning control;
melt temperature;
variable structure control
Articles in the same Issue
- Original Articles
- Reactive compatibilization of poly(lactic acid)/polyethylene octene copolymer blends with ethylene-glycidyl methacrylate copolymer
- Melt temperature dynamic control strategy of injection molding machine based on variable structure control and iterative learning control
- Injection molding of conductor paths: integration of functionality by the use of a metal/thermoplastic hybrid material
- Optimization of runner sizes and process conditions considering both part quality and manufacturing cost in injecting molding
- Strain localization in polycarbonates deformed at high strain rates
- Polypropylene-based long-life insecticide-treated mosquito netting
- Characteristics of poly(lactic acid) reinforced composites with waste cotton